• Modify, diagnose, and change code in our Python HTTP backend, which runs on Tornado and backed by data stored in Dynamo, Elasticsearch, and Redis. • Contribute to our infrastructure-as-code repo, which is responsible for provisioning resources in AWS. • Reason about distributed systems to drive good technical decision-making. • Own technical work from the early stages of inception, to implementation, to production monitoring and alerting. • Export best practices around code authoring, tool usage, and observability to other engineering teams at Seesaw. • Ensure the security and reliability of Seesaw's platform, proactively identifying and addressing potential vulnerabilities and performance bottlenecks. • Optimize cloud infrastructure for cost-effectiveness, leveraging best practices in resource management • Help develop a strong technical roadmap and engineering culture through design proposals, industry engagement, and more • Partner with senior team members, product managers, and other key stakeholders to drive strategic initiatives and align infrastructure development with business objectives.

• Design, build, and maintain scalable, cost-effective cloud infrastructure across AWS and Fly.io. • Own deployment strategy and service design across our monolith and microservices, including schema migrations and rollout safety. • Manage infrastructure-as-code (Cloudformation, Terraform or equivalent) for reproducible, auditable infrastructure. • Identify reliability risks, performance bottlenecks, and security gaps — and address them proactively. • Evolve our observability stack — logging, distributed tracing, metrics, and uptime monitoring. • Evolve on-call practices and incident response processes that keep us ahead of customer-impacting issues. • Champion a culture of reliability: postmortems, runbooks, and continuous improvement after incidents. • Manage and improve our CI/CD pipelines (GitHub Actions) and establish deployment best practices. • Build internal platform tooling and abstractions that reduce toil and increase engineering velocity. • Partner with product engineers to make infrastructure easy to use correctly and hard to use incorrectly. • Design and operate data pipelines that support our ML-powered verification systems. • Evolve our MLOps infrastructure so models can be trained, evaluated, and deployed safely and repeatedly. • Work closely with engineering and product leadership on technical roadmap decisions. • Review code, mentor peers, and help raise the bar on security, reliability, and operational discipline. • Communicate infrastructure tradeoffs clearly across technical and non-technical stakeholders.

• You will be directly involved in the design and implementation of the core feature set of Apache Ozone and Apache Ratis (open-source RAFT implementation). • You will also contribute to HDFS; the development of HDFS which is one of the most widely deployed distributed storage systems in the world with over a thousand Cloudera customers. • This is a unique opportunity to be a part of building a brand new distributed storage system and have a huge impact on the big data and cloud computing industry.

• Design and code — setting standards and ensuring quality • Lead self-organized teams in diverse and exciting client projects • Varied, challenging projects in the banking and insurance sectors • Develop a range of software solutions across the projects' technology stacks • Continuous professional development combined with new technologies • A supportive environment to leverage and grow your strengths • Solve technical and conceptual challenges